Taking Aim at Moving Targets in Computational Cell Migration

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• 作者：Paola Masuzzo¹ ; ² ; Marleen Van Troys² ; Christophe Ampe² ; Lennart Martens¹ ; ² ; ^{lennart.martens@vib-ugent.be" class="auth_mail" title="E-mail the corresponding author}
• 关键词：cell migration ; bioinformatics ; algorithms ; image processing ; cell tracking ; modeling
• 刊名：Trends in Cell Biology
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：26
• 期：2
• 页码：88-110
• 全文大小：3791 K

文摘

Cell migration is central to the development and maintenance of multicellular organisms. Fundamental understanding of cell migration can, for example, direct novel therapeutic strategies to control invasive tumor cells. However, the study of cell migration yields an overabundance of experimental data that require demanding processing and analysis for results extraction. Computational methods and tools have therefore become essential in the quantification and modeling of cell migration data. We review computational approaches for the key tasks in the quantification of in vitro cell migration: image pre-processing, motion estimation and feature extraction. Moreover, we summarize the current state-of-the-art for in silico modeling of cell migration. Finally, we provide a list of available software tools for cell migration to assist researchers in choosing the most appropriate solution for their needs.